The GHRSST-PP Single Sensor Error Statistics (SSES) Working Group (SSES-WG)
Single Sensor Error Statistics (SSES) are a key component of all GHRSST-PP L2P data files. SSES attempt to capture the time and space varying error characteristics of a specific satellite SST data stream using sensor specific information. SSES are complex and require continuous update based on the mose recent uncertainty estimation. Typically SSES are different for infrared and microwave SST retrievals e.g., for microwave SST retrievals side lobe contamination and rainfall are known as soources of error, but for infrared retrievals clouds and infrared-specific aerosols are important error sources.
The GHRST-PP has agreed a common 6-point scale of SSES Quality values which can be used to filter SST observations. The table below summarises the GHRST-PP SSES Quality Value scale.
QV -- Meaning
0 -- Unprocessed/ (No Data/Land etc)
1 -- Not Useable: Cloudy/Rain/Side lobe contamination
2 -- Bad: Data are considered suitable for qualitative applications only
3 -- Suspect: Follow data provider reccomendations if using these data
4 -- Acceptable: These data are suitable for quantitative applications
5 -- Excellent: These data are the best data availablefor quantitative applications
SSES-WG
The SSES-WG is an open informal group to which anyone may provide input. Please contact the SSES coordinator Pierre LeBorgne for more information if you would like to contribute to the SSES-WG.Current membership includes:
Bob Evans/Peter Minnett (MODIS)
Gary Wick (General)
Chelle Gentemann (Microwave SST)
Andy Harris (GOES)
Pierre LeBorgne (Coordinator, METOP, SEVIRI)
Craig Donlon (General)
Doug May/Bruce McKenzie (AVHRR)
Gary Corlett ((A)ATSR)
Specific SSES Documentation
Several documents describing SSES develpments for GDS-v2.0 are in development. contact the SSES-WG coordinator for mor informtion
(Last Updated: 29-01-2008)